Author

L. Egidi

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Preprint Aug 2026

Stochastic Bayes factors: why, when, and how

The Bayes factor (BF) is a central tool in Bayesian hypothesis testing and model selection, yet its practical use is often challenged. Classical BFs depend heavily on prior specification, cannot be applied with improper priors, and are typically interpreted through arbitrary evidence scales. Moreover, they fail to capt...

L. Egidi, I. Ntzoufras · 0 citations

Open access Jul 2026

Gene mutant dosage is associated with prognosis and metastatic tropism in 60,000 clinical cancer samples

An open-source Bayesian inference tool that determines the multiplicity and copy number of driver mutations from tumor sequencing datasets is presented, an open-source Bayesian inference tool that determines the multiplicity and copy number of driver mutations from tumor sequencing datasets.

N. Calonaci, E. Krasniqi, D. Čolić et al. · Nature Genetics · 0 citations